radiologists intra-rater agreement and category distinguishability in diagnosis of ovarian mass by ultrasonography

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ID: 249527
2006
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Abstract
Background: Intra-rater agreement in observing and decision making in diagnosis of any disease is of great importance.This investigation is to observe and read ultrasound pictures of ovarian cysts and distinguish its category for any radiologist. Distinguishability is one of the related entities in this matter and radiologists' ability in correct diagnosis is of great concern. In this study, we evaluated radiologist’s distinguishability of ordered categories of ovarian cyst diseases (benign, borderline and malignant) in ultrasonography. To do this, we measured intra-rater agreement of radiologists by Weighted Kappa coefficient, and then by the help of “square scores association model” and “agreement plus square scores association model” we evaluated their distinguishability in diagnosis of the severity of the ovarian cyst’s diseases. Methods: In this analytical cross-sectional study, two radiologists and three radiology residents assessed ultrasounds of 40 patients separately and independently in two periods (with the interval of one week). Patients selected from those who were referred to Mirza Koochak Khan Hospital in January 2005. Ultrasounds were performed by an expert radiologist and by a single apparatus. Result: Data from radiologists was evaluated by “square scores association model” due to their superior results of distinguishability. Mean of Weighted Kappa coefficient was 0.81 and intra-rater agreement was 0.99 for our radiologists, but due to weaker results of our residents, we used “agreement plus square scores association model” for analyzing and mean of Weighted Kappa coefficient was 0.65 and intra-rater agreement was 0.97 for them. Conclusion: Although radiologists had a better function than their residents, all of them showed appropriate distinguishability and intra-rater agreement in diagnosis and categorizing of the ovarian cyst’s disease. To distinguish benign category from borderline was more difficult than to distinguish malignant category from borderline and radiologists showed better results in this than their residents did.
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anaraki2006tehranradiologists Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;F. Baradaran Anaraki;S. Faghihzadeh;A. Kazemnejad;G. Babaei;A. Akbarzadeh Bagheban;Z. Elahipanah
Journal asian journal of chemistry
Year 2006
DOI
DOI not found
URL
http://journals.tums.ac.ir/PdfMed.aspx?pdf_med=/upload_files/pdf/2642.pdf&manuscript_id=2642
Keywords
reliability

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